Implementation of various statistical models for multivariate event history data <doi:10.1007/s10985-013-9244-x>. Including multivariate cumulative incidence models <doi:10.1002/sim.6016>, and bivariate random effects probit models (Liability models) <doi:10.1016/j.csda.2015.01.014>. Also contains two-stage binomial modelling that can do pairwise odds-ratio dependence modelling based marginal logistic regression models. This is an alternative to the alternating logistic regression approach (ALR).
| Version: | 1.2.8.1 |
| Depends: | R (≥ 3.5), timereg (≥ 1.9.4), lava (≥ 1.6.6) |
| Imports: | mvtnorm, numDeriv, compiler, Rcpp, splines, survival (≥ 2.43-1) |
| LinkingTo: | Rcpp, RcppArmadillo, mvtnorm |
| Suggests: | prodlim, cmprsk, testthat (≥ 0.11), ucminf, knitr, bookdown, rmarkdown, ggplot2, cowplot |
| Published: | 2020-09-28 |
| Author: | Klaus K. Holst [aut, cre], Thomas Scheike [aut] |
| Maintainer: | Klaus K. Holst <klaus at holst.it> |
| BugReports: | https://github.com/kkholst/mets/issues |
| License: | GPL-2 | GPL-3 [expanded from: GPL (≥ 2)] |
| URL: | https://kkholst.github.io/mets/ |
| NeedsCompilation: | yes |
| SystemRequirements: | C++11 |
| Citation: | mets citation info |
| Materials: | README NEWS |
| CRAN checks: | mets results |
| Reference manual: | mets.pdf |
| Vignettes: |
dUtility data-frame manipulations Analysis of multivariate binomial data: family analysis Analysis of bivariate binomial data: Twin analysis Cumulative Incidence Regression Discrete Survival Models Marginal modelling of clustered survival data Twin models Recurrent events Analysis of multivariate survival data |
| Package source: | mets_1.2.8.1.tar.gz |
| Windows binaries: | r-devel: mets_1.2.8.1.zip, r-release: mets_1.2.8.1.zip, r-oldrel: mets_1.2.8.1.zip |
| macOS binaries: | r-release: mets_1.2.8.1.tgz, r-oldrel: mets_1.2.8.1.tgz |
| Old sources: | mets archive |
| Reverse imports: | riskRegression |
| Reverse suggests: | gap, lava, timereg |
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